Martin Cadik

Martin Cadik

Vysoké ucení technické v Brne

H-index: 20

Europe-Czech Republic

About Martin Cadik

Martin Cadik, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Vysoké ucení technické v Brne, specializes in the field of Computational Photography, Image Processing, Visual Perception, Computer Graphics, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimating Extreme 3D Image Rotations using Cascaded Attention

Vision UFormer: Long-range monocular absolute depth estimation

Large-scale outdoor augmented reality scenes using camera pose based on learned descriptors

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Predicting photovoltaic power production using high-uncertainty weather forecasts

PTRM: Perceived terrain realism metric

CrossLocate: cross-modal large-scale visual geo-localization in natural environments using rendered modalities

Generating immersive trip photograph visualizations

Martin Cadik Information

University

Position

Associate Professor at Czech Republic

Citations(all)

2003

Citations(since 2020)

715

Cited By

1579

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

29

i10Index(since 2020)

25

Email

University Profile Page

Vysoké ucení technické v Brne

Google Scholar

View Google Scholar Profile

Martin Cadik Skills & Research Interests

Computational Photography

Image Processing

Visual Perception

Computer Graphics

Computer Vision

Top articles of Martin Cadik

Title

Journal

Author(s)

Publication Date

Estimating Extreme 3D Image Rotations using Cascaded Attention

Shay Dekel

Yosi Keller

Martin Cadık

2024/3/12

Vision UFormer: Long-range monocular absolute depth estimation

Computers & Graphics

Tomas Polasek

Martin Čadík

Yosi Keller

Bedrich Benes

2023/4/1

Large-scale outdoor augmented reality scenes using camera pose based on learned descriptors

2023/1/31

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

IEEE Transactions on Visualization and Computer Graphics

Petr Bobák

Ladislav Čmolík

Martin Čadík

2023/9/11

Predicting photovoltaic power production using high-uncertainty weather forecasts

Applied Energy

Tomas Polasek

Martin Čadík

2023/6/1

PTRM: Perceived terrain realism metric

ACM Transactions on Applied Perceptions (TAP)

Suren Deepak Rajasekaran

Hao Kang

Martin Čadík

Eric Galin

Eric Guérin

...

2022/7/11

CrossLocate: cross-modal large-scale visual geo-localization in natural environments using rendered modalities

Jan Tomešek

Martin Čadík

Jan Brejcha

2022

Generating immersive trip photograph visualizations

2021/9/7

Resource efficient mountainous skyline extraction using shallow learning

Touqeer Ahmad

Ebrahim Emami

Martin Cadik

George Bebis

2021/7

ICTree: Automatic perceptual metrics for tree models

ACM Transactions on Graphics (TOG)

Tomas Polasek

David Hrusa

Bedrich Benes

Martin Čadík

2021/12/10

Temporally stable boundary labeling for interactive and non-interactive dynamic scenes

Computers & Graphics

Petr Bobák

Ladislav Čmolík

Martin Čadík

2020/10/1

Landscapear: Large scale outdoor augmented reality by matching photographs with terrain models using learned descriptors

Jan Brejcha

Michal Lukáč

Yannick Hold-Geoffroy

Oliver Wang

Martin Čadík

2020/8/17

See List of Professors in Martin Cadik University(Vysoké ucení technické v Brne)

Co-Authors

H-index: 46
Rafal K. Mantiuk

Rafal K. Mantiuk

University of Cambridge

H-index: 44
Bedrich Benes

Bedrich Benes

Purdue University

H-index: 43
Michael Wimmer

Michael Wimmer

Technische Universität Wien

H-index: 43
Elmar Eisemann

Elmar Eisemann

Technische Universiteit Delft

H-index: 36
Alec Jacobson

Alec Jacobson

University of Toronto

H-index: 26
Daniel Sýkora

Daniel Sýkora

Ceské vysoké ucení technické v Praze

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